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New ViHoRec dataset aims to boost Vietnamese hotel recommendation research

By PulseAugur Editorial · [2 sources] ·

Researchers have introduced ViHoRec, a new dataset designed to improve recommender system research for Vietnamese hotels. The dataset addresses challenges in cross-platform hotel name reconciliation, quality control, and privacy preservation. ViHoRec contains 18,267 interactions from 6,832 users and 560 hotels, crawled from multiple sources, and includes a reproducible construction pipeline and a public cold-start benchmark. AI

IMPACT This dataset could improve the performance of recommender systems in low-resource regions like Vietnam.

RANK_REASON The cluster describes a new academic dataset and benchmark for recommender systems, published on arXiv.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New ViHoRec dataset aims to boost Vietnamese hotel recommendation research

COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Minh Hoang Nguyen ·

    ViHoRec: A Quality-Controlled Vietnamese Hotel Recommendation Dataset and Cold-Start Benchmark

    arXiv:2607.12946v1 Announce Type: cross Abstract: Recommender-system research for Vietnamese remains limited by the absence of a public, well-documented hotel interaction resource. Building such a resource is challenging for three reasons: cross-platform hotel names must be recon…

  2. arXiv cs.AI TIER_1 English(EN) · Minh Hoang Nguyen ·

    ViHoRec: A Quality-Controlled Vietnamese Hotel Recommendation Dataset and Cold-Start Benchmark

    Recommender-system research for Vietnamese remains limited by the absence of a public, well-documented hotel interaction resource. Building such a resource is challenging for three reasons: cross-platform hotel names must be reconciled before interactions are comparable; quality …

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